NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.
about
High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records.The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case
P2860
NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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name
NegAIT: A new parser for medic ...... entential and double negation.
@en
NegAIT: A new parser for medic ...... entential and double negation.
@nl
type
label
NegAIT: A new parser for medic ...... entential and double negation.
@en
NegAIT: A new parser for medic ...... entential and double negation.
@nl
prefLabel
NegAIT: A new parser for medic ...... entential and double negation.
@en
NegAIT: A new parser for medic ...... entential and double negation.
@nl
P2093
P2860
P1476
NegAIT: A new parser for medic ...... entential and double negation.
@en
P2093
Damian Y Romero Diaz
David Kauchak
Gondy Leroy
Nicole P Yuan
Partha Mukherjee
Sonia Colina
Srinidhi Rajanarayanan
T Gail Pritchard
P2860
P356
10.1016/J.JBI.2017.03.014
P577
2017-03-22T00:00:00Z